app.py

import gradio as gr
from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="MennatullahHany/Arabic-Speech-Guard",
    tokenizer="MennatullahHany/Arabic-Speech-Guard",
    return_all_scores=True
)

def predict(text):
    if text.strip() == "":
        return "❌ Please enter Arabic text"

    results = classifier(text)[0]
    output = ""
    for r in results:
        output += f"{r['label']}: {round(r['score']*100, 2)}%\n"
    return output

demo = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(lines=4, placeholder="اكتب النص هنا..."),
    outputs="text",
    title="Arabic Speech Guard 🛡️",
    description="Detect offensive Arabic content"
)

demo.launch()